"A service for finding LinkedIn profiles by name" matching MCP servers:

Provides agents with real Linux VMs to run commands, manage files, expose ports, and track costs, all through an ephemeral sandbox service.

Provides over 1,000 creative ways to decline requests across four categories (polite, humorous, professional, and creative). The MCP server wraps a REST API to help users craft professional rejections through natural language interactions.

Multilingual name romanization lookup across Chinese, Japanese, Korean, Arabic, Vietnamese, and more. Resolves whether two name spellings refer to the same person — Chan/Chen/陳/陈, Hsu/Xu, Chou/Zhou — across Pinyin, Wade-Giles, Cantonese, Hokkien, and other romanization systems.

Enables building RudderStack Profiles projects using natural language through AI assistants, supporting data discovery, identity resolution, feature engineering, and propensity modeling.

Cross-chain cryptocurrency swaps via Chainflip. Get quotes, execute swaps, and track progress. No API key required to get started.

An MCP server that lets AI assistants like Claude read LinkedIn data through your own logged-in browser session. Access profiles and companies, search for jobs, or get job details.

An MCP server that reads and edits OrcaSlicer profiles, expanding the full inheritance chain and tracking the provenance of every value.

Enables AI agents to generate fake user profiles and companies using the Random Profiles API with automatic API key handling.

This read-only MCP Server allows you to connect to LinkedIn data from Claude Desktop through CData JDBC Drivers. For full CRUD support, check out the first managed MCP platform: CData Connect AI (https://www.cdata.com/ai/).

Enables AI assistants to search LinkedIn jobs and read LinkedIn profiles read-only using a real Chrome session via CDP, with tools for job listings, full job details, profile data, and session management.

Enables LinkedIn API integration for managing profiles, posts, feed, connections, and sending messages through MCP-compatible clients.

Enables LinkedIn profile reads and post operations through a local-first MCP server, with OAuth token management and approval-friendly tools for OpenWorker.

This project builds a read-only MCP server. For full read, write, update, delete, and action capabilities and a simplified setup, check out our free CData MCP Server for Oracle Service Cloud (beta): https://www.cdata.com/download/download.aspx?sku=KOZK-V&type=beta

This project builds a read-only MCP server. For full read, write, update, delete, and action capabilities and a simplified setup, check out our free CData MCP Server for Jira Service Management (beta): https://www.cdata.com/download/download.aspx?sku=GKZK-V&type=beta

A persistent 24/7 background daemon that aggregates all downstream MCP servers into one unified connection and layers on a real-time notification gateway so AI agents can receive events from X/Twitter, Slack, Email, and webhooks.

This project builds a read-only MCP server. For full read, write, update, delete, and action capabilities and a simplified setup, check out our free CData MCP Server for LinkedIn Ads (beta): https://www.cdata.com/download/download.aspx?sku=EBZK-V&type=beta

A throwaway HTTP MCP server that empirically tests whether Cursor invokes tools by exact name or munges them, to inform case normalization decisions.

Enables Claude Code users to safely edit their own LinkedIn profile by drafting proposed changes as diffs and requiring explicit human approval before the single write tool applies them.

A local MCP server that lets Claude log in to LinkedIn and publish image posts to your personal profile feed, backed by LinkedIn's REST Images API and Posts API.

Enables viewing your own LinkedIn account data—such as profile views, applications, saved jobs, job listings, and notifications—as structured tool results, with optional gated write actions for saving or unsaving jobs and unfollowing companies.